Datasets:

---

farguney

/

psn-benchmark-v1-data

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
agent: string
run_id: string
job_id: string
wall_time: double
timestamp: double
step: int64
env: string
type: string
params: int64
psn_mode: string
episode_return: double
episode_len: int64
eval_return_mean: double
eval_return_std: double
wm_obs: double
wm_rew: double
wm_cont: double
wm_state: double
wm_kl: double
wm_val: double
wm_high_obs: double
wm_high_state: double
wm_total: double
actor_loss: double
critic_loss: double
imagined_return: double
g_m: double
g_c: double
g_p: double
g_err: double
efb_norm: double
ex_norm: double
eh_norm: double
step_ms: double
to
{'agent': Value('string'), 'run_id': Value('string'), 'job_id': Value('string'), 'wall_time': Value('float64'), 'timestamp': Value('float64'), 'step': Value('int64'), 'env': Value('string'), 'type': Value('string'), 'params': Value('int64'), 'episode_return': Value('float64'), 'episode_len': Value('int64'), 'eval_return_mean': Value('float64'), 'eval_return_std': Value('float64'), 'wm_total': Value('float64'), 'wm_obs': Value('float64'), 'wm_rew': Value('float64'), 'wm_kl': Value('float64'), 'actor_loss': Value('float64'), 'critic_loss': Value('float64'), 'imagined_return': Value('float64'), 'step_ms': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 260, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              agent: string
              run_id: string
              job_id: string
              wall_time: double
              timestamp: double
              step: int64
              env: string
              type: string
              params: int64
              psn_mode: string
              episode_return: double
              episode_len: int64
              eval_return_mean: double
              eval_return_std: double
              wm_obs: double
              wm_rew: double
              wm_cont: double
              wm_state: double
              wm_kl: double
              wm_val: double
              wm_high_obs: double
              wm_high_state: double
              wm_total: double
              actor_loss: double
              critic_loss: double
              imagined_return: double
              g_m: double
              g_c: double
              g_p: double
              g_err: double
              efb_norm: double
              ex_norm: double
              eh_norm: double
              step_ms: double
              to
              {'agent': Value('string'), 'run_id': Value('string'), 'job_id': Value('string'), 'wall_time': Value('float64'), 'timestamp': Value('float64'), 'step': Value('int64'), 'env': Value('string'), 'type': Value('string'), 'params': Value('int64'), 'episode_return': Value('float64'), 'episode_len': Value('int64'), 'eval_return_mean': Value('float64'), 'eval_return_std': Value('float64'), 'wm_total': Value('float64'), 'wm_obs': Value('float64'), 'wm_rew': Value('float64'), 'wm_kl': Value('float64'), 'actor_loss': Value('float64'), 'critic_loss': Value('float64'), 'imagined_return': Value('float64'), 'step_ms': Value('float64')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1922, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset